The paper presents and evaluates a speckle detection method for B-scan images. This is a fully automatic method and does not require information about the sensor parameters, which is often missing in retrospective studies. ...

Manifold learning is a widely used statistical tool which reduces the dimensionality of a data set while aiming to maintain both local and global properties of the data. We present a novel manifold learning technique which ...

This paper presents a method to extend PDE surfaces to high dimensional spaces. We review a common existing analytic solution, and show how it can be used straightforwardly to increase the dimension of the space the surface ...

For accurate registration of overlapping free form shapes, different points in one shape must select different points in another as their most sensible correspondents. To reach this ideal state, in this paper we develop a ...

Recently, psychologists have turned their attention to the study of castshadows and demonstrated that the human perceptual system values information fromshadows very highly in the perception of spatial qualities, sometimes ...

Experimental results are presented for the changes in the degree of polarization upon propagation in the LP(01) mode in a few-mode optical fibre. The dependence on the temporal coherence of the source is shown. The general ...

Abstract Recently, cognitive psychologists and others have turned their attention to the formerly neglected study of shadows, and the information they purvey. These studies show that the human perceptual system values ...

Spatial features are important properties with respect to data integration in many areas such as ocean observational information and environmental decision making. In order to address the needs of these applications, we ...

Iterative algorithms are often used for range image matching. In this paper, we treat the iterative process of range image matching as a live biological system: evolving from one generation to another. Whilst different ...

The aim of this paper is to review existing approaches to the automatic detection and segmentation of masses in mammographic images, highlighting the key-points and main differences between the used strategies. The key ...

X-rays that are elastically or inelastically scattered from a sample provide valuable information about the internal characteristics of a sample such as the molecular structure, density and atomic number. Also since the ...

The use of spectral information for the discrimination of crops and weeds is reviewed, discussing research results covering most of this century. This includes discussions about the modelling of reflection from vegetation ...

This paper describes a method for building visual scene models from video data using quantized descriptions of motion. This method enables us to make meaningful statements about video scenes as a whole (such as “this video ...

The sedimentation of circular discs in a dry two-dimensional, monodisperse foam is studied. This, a variation of the classical Stokes experiment, provides a prototype experiment to study a foam’s response. The interaction ...

The purpose of this paper is to present short reviews the face detection techniques and to study the effect of Multifractal analysis in detecting facial features. In reviewing the existing techniques, we have compared the ...

Changes in the degree of polarisation are described by a single Mueller matrix. Both the monochromatic and quasimonochromatic cases are discussed. The authors show how the propagating degree of polarisation depends on the ...

Spectral changes in inhomogeneous media depending on the spatial coherence of the source can be described by a quasi-optical approach. Assuming a Gaussian-Schell model source the spectral changes are described by using a ...

Background Many animals both display and assess multiple signals. Two prominently studied traits are symmetry and sexual dimorphism, which, for many animals, are proposed cues to heritable fitness benefits. These traits ...